Automated and Reproducible Detection of Vascular Endothelial Growth Factor (VEGF) in Renal Tissue Sections by Nayana Damiani Macedo, Aline Rodrigues Buzin, Isabela Bastos de Araujo, Breno Valentim Nogueira, Tadeu Uggere Andrade, Denise Coutinho Endringer, Dominik Lenz

“…Manual analysis of tissue sections, such as for pathological diagnosis, requires an analyst with substantial knowledge and experience. Reproducible image analysis of biological samples is steadily gaining scientific importance. …”
Get full text

Applications of Robust Methods in Spatial Analysis by Selvakkadunko Selvaratnam

“…The proposed method can be extended for future works of image analysis which includes 3 dimensional image analysis.…”
Get full text

Approaches for the measurement of lateral dimensions of graphene oxide flakes using scanning electron microscopy by Giovanni Chemello, Konstantinos Despotelis, Keith R Paton, Charles A Clifford, Andrew J Pollard, Jörg Radnik, Vasile-Dan Hodoroaba

“…A measurement procedure for Scanning Electron Microscopy (SEM) including sample preparation, measurement, image analysis and reporting was developed and validated to be applied for the lateral size analysis of ‘real-world’ 2D flakes. …”
Get full text

AutoLDP: An accurate and efficient artificial intelligence-based tool for automatic labeling of digital pathology by Yingnan Zhao, Huifen Ye, Jing Yang, Su Yao, Maohua Lv, Zhihong Chen, Yunrui Ye, Qingru Hu, Cheng Lu, Zaiyi Liu, Ke Zhao, Zhihua Chen

Get full text

An Overview of the Topological Gradient Approach in Image Processing: Advantages and Inconveniences by Lamia Jaafar Belaid

“…Image analysis by topological gradient approach is a technique based upon the historic application of the topological asymptotic expansion to crack localization problem from boundary measurements. …”
Get full text

Dialogues théoriques autour de l’émergence du sens linguistique et visuel by Séverine Letalleur-Sommer

“…This paper proposes to show how various epistemological tools used in linguistics can apply to image analysis and vice-versa. It is well known that when examining cleft sentences, visual notions such as that of focus, framing, saliency, foreground and background for instance may prove useful. …”
Get full text

Quantitative Fraction Evaluation of Dermal Collagen and Elastic Fibres in the Skin Samples Obtained in Two Orientations from the Trunk Region by Naveen Kumar, Pramod Kumar, Satheesha Nayak Badagabettu, Keerthana Prasad, Ranjini Kudva, Coimbatore Vasudevarao Raghuveer

“…Total number of 200 skin samples collected from 5 areas of trunk region were processed histologically and subjected to tissue-quant image analysis. Statistical analysis involving mean with SEM and paired t test by SPSS were employed to the percentage values obtained from image analysis. …”
Get full text

Estimating the Asphalt Binder Film Thickness Using Scanning Electron Microscope and Energy Dispersive X-Ray Spectroscopy by Fazli Karim, Jawad Hussain, Imran Hafeez

“…The image analysis showed that the asphalt mixtures mostly contain asphalt mortar and asphalt mastic, occurring in irregular shape. …”
Get full text

Instance-level semantic segmentation of nuclei based on multimodal structure encoding by Bo Guan, Guangdi Chu, Ziying Wang, Jianmin Li, Bo Yi

“…Abstract Background Accurate segmentation and classification of cell nuclei are crucial for histopathological image analysis. However, existing deep neural network-based methods often struggle to capture complex morphological features and global spatial distributions of cell nuclei due to their reliance on local receptive fields. …”
Get full text

Optimizing Breast Cancer Mammogram Classification Through a Dual Approach: A Deep Learning Framework Combining ResNet50, SMOTE, and Fully Connected Layers for Balanced and Imbalanc... by Abdullah Fahad A. Alshamrani, Faisal Saleh Zuhair Alshomrani

“…Our approach significantly improves diagnostic accuracy in breast cancer classification from Mammogram scans, effectively addressing the challenge of imbalanced data in medical image analysis. This work contributes to medical image analysis and computer-aided diagnosis. …”
Get full text

Telemedicine in Diabetic Retinal Screening: Pre- and Post-COVID-19 Challenges a New Perspective by Arshi Baig, Azhar Zafar

“…The transition, from the use of human graders in teleophthalmology to the use of AI-based image analysis has the potential to screen a wider cohort of patients, thereby tackling waiting lists awaiting screening which has lengthened since after COVID-19. …”
Get full text

Microstructural characterisation related to hot tearing of Al-Cu sand mould castings by M. Merlin

“…6)%Cu sand mould castings was preliminary investigated by means of microstructural examination and image analysis. A dog-bone pattern was employed for the realisation of the castings and three Al-Cu alloys with different Cu and Si contents were used. …”
Get full text

Microstructural characterisation related to hot tearing of Al-Cu sand mould castings by M. Merlin

“…6)%Cu sand mould castings was preliminary investigated by means of microstructural examination and image analysis. A dog-bone pattern was employed for the realisation of the castings and three Al-Cu alloys with different Cu and Si contents were used. …”
Get full text

Effect of Metakaolin on Strength and Efflorescence Quantity of Cement-Based Composites by Tsai-Lung Weng, Wei-Ting Lin, An Cheng

“…The quantity of efflorescence determined using MATLAB image analysis is close to the result obtained using the curettage method. …”
Get full text

Combined nanoindentation and SEM imaging for phase quantification and creep prediction of cementitious materials by Imane Bekrine, Benoit Hilloulin, Ahmed Loukili

“…The present article introduces a novel and rapid method for processing nanoindentation data using SEM image analysis, called Auto-NI-SEM (Automatic NanoIndentation-Scanning Electron Microscopy). …”
Get full text

Advancement of emerging technologies for non-destructive measurement of water and non-aqueous phase liquid saturation in porous media: A review by Kapil Kumar, Harris Ramli

“…It highlights the Simplified Image Analysis Method (SIAM) for its accuracy and user-friendliness. …”
Get full text

Research on multi-source microstructure image recognition of foam ceramics using convolutional network combine with frequency domain by Yi Yin, Jianwei Pan, Fang Wang, Peihang Li, Zhen Cai, Xin Xu

“…However, their complex microstructure presents significant challenges for image analysis. Traditional machine learning methods often fall short in capturing both global feature dependencies and detailed representations. …”
Get full text

Early Detection of Pancreatic Cancer: Opportunities Provided by Cancer-induced Paraneoplastic Phenomena and Artificial Intelligence by Wei-Chih Liao

“…Conclusion: Novel blood-based biomarkers and AI-augmented image analysis may be complementary and hold promise for the early detection of PDAC.…”
Get full text

Evaluation of the Risk of Recurrence in Patients with Local Advanced Rectal Tumours by Different Radiomic Analysis Approaches by Alaa Khadidos, Adil Khadidos, Olfat M. Mirza, Tawfiq Hasanin, Wegayehu Enbeyle, Abdulsattar Abdullah Hamad

“…In this study, we evaluated and compared six conventional learning models and a deep learning model, based on MRI textural analysis of patients with locally advanced rectal tumours, correlated with the risk of recidivism; in traditional learning, we compared 2D image analysis models vs. 3D image analysis models, models based on a textural analysis of the tumour versus models taking into account the peritumoural environment in addition to the tumour itself. …”
Get full text

Observational Diagnostics: The Building Block of AI-Powered Visual Aid for Dental Practitioners by Ruchika Raj, Ravikumar Rajappa, Vijayalakshmi Murthy, Mahyar Osanlouy, Daniel Lawrence, Mahen Ganhewa, Nicola Cirillo

“…Artificial intelligence (AI) has gained significant traction in medical image analysis, including dentistry, aiding clinicians in making timely and accurate diagnoses. …”
Get full text